package com.atguigu.gulimall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.atguigu.common.to.es.SkuEsModel;
import com.atguigu.common.utils.R;
import com.atguigu.gulimall.search.config.ElasticSearchConfig;
import com.atguigu.gulimall.search.constant.EsConstant;
import com.atguigu.gulimall.search.feign.ProductSearchFeignService;
import com.atguigu.gulimall.search.service.MallSearchService;
import com.atguigu.gulimall.search.vo.AttrResponseVo;
import com.atguigu.gulimall.search.vo.SearchParam;
import com.atguigu.gulimall.search.vo.SearchResult;
import lombok.extern.slf4j.Slf4j;
import org.apache.lucene.search.TotalHits;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.ObjectUtils;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

/**
 * @Classname MallSearchServiceImpl
 * @Description TODO
 * @Date 2021/9/3 11:52
 * @Author Anonymous
 */
@SuppressWarnings("all")
@Service
@Slf4j
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    private RestHighLevelClient client;

    @Autowired
    private ProductSearchFeignService productSearchFeignService;


    //去es中进行检索
    @Override
    public SearchResult search(SearchParam param) {
        //1、动态构建出查询需要的DSL语句
        SearchResult result = null;

        //1、准备检索请求
        SearchRequest searchRequest = buildSearchRequest(param);

        try {
            //2、执行检索请求
            SearchResponse response = client.search(searchRequest, ElasticSearchConfig.COMMON_OPTIONS);
            //3、分析响应数据封装成我们需要的格式
            result = buildSearchResult(response, param);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }

    /**
     * 准备检索请求
     * 模糊匹配，过滤（按照属性、分类、品牌，价格区间，库存），完成排序、分页、高亮,聚合分析功能
     */
    private SearchRequest buildSearchRequest(SearchParam param) {
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();//构建DSL语句
        /**
         * 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存）
         */
        //1. 构建bool-query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();

        //1.1 bool-must
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }

        //1.2 bool-fiter
        //1.2.1 catelogId
        if (null != param.getCatalog3Id()) {  //getCatalog3Id是Long，所以不需要StringUtils，只需要！=null即可
            boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }

        //1.2.2 brandId
        if (null != param.getBrandId() && param.getBrandId().size() > 0) {
            boolQuery.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
        }

        //1.2.3 attrs
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {

            param.getAttrs().forEach(item -> {
                //attrs=1_5寸:8寸&2_16G:8G
                BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();


                //attrs=1_5寸:8寸
                String[] s = item.split("_");
                String attrId = s[0];//属性id
                String[] attrValues = s[1].split(":");//这个属性检索用的值
                nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                //每一个必须斗得生成一个nested查询
                NestedQueryBuilder nestedQueryBuilder = QueryBuilders.nestedQuery("attrs", nestedboolQuery, ScoreMode.None);
                boolQuery.filter(nestedQueryBuilder);
            });
        }

        //1.2.4 hasStock，查询没有库存的
        if (null != param.getHasStock()) {
            boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 0));
        }


        //1.2.5 skuPrice
        if (!ObjectUtils.isEmpty(param.getSkuPrice())) {
            //skuPrice形式为：1_500或_500或500_
            RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("skuPrice");
            String[] price = param.getSkuPrice().split("_");
            if (price.length == 2) {
                rangeQueryBuilder.gte(price[0]).lte(price[1]);
            } else if (price.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {//_500
                    rangeQueryBuilder.lte(price[1]);
                }
                if (param.getSkuPrice().endsWith("_")) {//500_
                    rangeQueryBuilder.gte(price[0]);
                }
            }
            boolQuery.filter(rangeQueryBuilder);
        }
        //把以前的所有条件都拿过来进行封装
        sourceBuilder.query(boolQuery);
        /**
         * 排序，分页，高亮
         */

        //排序
        //形式为sort=hotScore_asc/desc
        if (!ObjectUtils.isEmpty(param.getSort())) {
            String sort = param.getSort();
            String[] sortFileds = sort.split("_");

            SortOrder sortOrder = "asc".equalsIgnoreCase(sortFileds[1]) ? SortOrder.ASC : SortOrder.DESC;
            //第一个参数表示要排序的字段，第二个参数表示是升序还是降序
            sourceBuilder.sort(sortFileds[0], sortOrder);
        }

        //分页  pageSize:5
        //pageNum:1  from:0  size:5  [0,1,2,3,4]
        //pageNum:2  from:5  size:5
        //from = (pageNum - 1)
        sourceBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGE_SIZE);
        sourceBuilder.size(EsConstant.PRODUCT_PAGE_SIZE);

        //高亮,只有模糊查询的时候才进行高亮
        if (!ObjectUtils.isEmpty(param.getKeyword())) {

            HighlightBuilder highlightBuilder = new HighlightBuilder();
            highlightBuilder.field("skuTitle");
            highlightBuilder.preTags("<b style='color:red'>");
            highlightBuilder.postTags("</b>");
            highlightBuilder.requireFieldMatch(false);//多个高亮显示关闭，也就是说假如一句话中有多个vue只高亮一个

            sourceBuilder.highlighter(highlightBuilder);
        }

        /**
         * 聚合分析
         */
        //1. 按照品牌进行聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);


        //1.1 品牌的子聚合-品牌名聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg")
                .field("brandName").size(1));
        //1.2 品牌的子聚合-品牌图片聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg")
                .field("brandImg").size(1));

        sourceBuilder.aggregation(brand_agg);

        //2. 按照分类信息进行聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg");
        catalog_agg.field("catalogId").size(20);

        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));

        sourceBuilder.aggregation(catalog_agg);

        //2. 按照属性信息进行聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //2.1 按照属性ID进行聚合
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        attr_agg.subAggregation(attr_id_agg);
        //2.1.1 在每个属性ID下，按照属性名进行聚合,聚合分析出当前attr_id对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        //2.1.1 在每个属性ID下，按照属性值进行聚合
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        sourceBuilder.aggregation(attr_agg);

        log.debug("构建的DSL语句 {}", sourceBuilder.toString());

        System.out.println("构建的DSL" + sourceBuilder.toString());

        //封装所有的查询条件

        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);
        return searchRequest;
    }

    /**
     * 构建结果数据
     */
    private SearchResult buildSearchResult(SearchResponse response, SearchParam param) {
        SearchResult result = new SearchResult();
        //1、返回的所有查询到的商品
        SearchHits hits = response.getHits();

        List<SkuEsModel> esModels = new ArrayList<>();
        //遍历所有商品信息
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);

                //判断是否按关键字检索，若是就显示高亮，否则不显示
                if (!ObjectUtils.isEmpty(param.getKeyword())) {
//                    //拿到高亮信息显示标题
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    //有多个高亮字段的话使用遍历，现在是一个直接【0】取出即可
                    String skuTitleValue = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(skuTitleValue);
                }
                esModels.add(esModel);
            }
        }
        result.setProduct(esModels);

        //2、当前所有商品涉及到的属性信息
        //得到属性聚合,并转化类型
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        //遍历
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            long key = bucket.getKeyAsNumber().longValue();
            //设置属性的id
            attrVo.setAttrId(key);
            //2、得到属性的名字
            ParsedStringTerms attrNameAgg = bucket.getAggregations().get("attr_name_agg");
            String attrName = attrNameAgg.getBuckets().get(0).getKeyAsString();
            attrVo.setAttrName(attrName);

            //3、得到属性的所有值
            ParsedStringTerms attrValueAgg = bucket.getAggregations().get("attr_value_agg");
            //"attr_value_agg" : {
            //              "doc_count_error_upper_bound" : 0,
            //              "sum_other_doc_count" : 0,
            //              "buckets" : [
            //                {
            //                  "key" : "海思(Hisilicon);高通(Qualcomm)",
            //                  "doc_count" : 6
            //                },
            //                {
            //                  "key" : "高通(Qualcomm)",
            //                  "doc_count" : 4
            //                },
            //                {
            //                  "key" : "海思(Hisilicon)",
            //                  "doc_count" : 2
            //                }
            //              ]
            //            }
            //          },所以要遍历bucket，映射出每个bucket中的key
            List<String> attrValues = attrValueAgg.getBuckets().stream().map
                    (item -> {
                        String keyAsString = item.getKeyAsString();
                        return keyAsString;
                    }).collect(Collectors.toList());
//                    (MultiBucketsAggregation.Bucket::getKeyAsString).collect(Collectors.toList());
            attrVo.setAttrValue(attrValues);
            //添加到集合中
            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);
//        //3、当前所有商品涉及到的品牌信息
        //得到品牌的聚合
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        //遍历每个bucket
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //1、得到品牌的id
            String keyAsString = bucket.getKeyAsString();
            brandVo.setBrandId(Long.parseLong(keyAsString));
            //2、得到品牌的名字
            ParsedStringTerms brandNameAgg = bucket.getAggregations().get("brand_name_agg");
            String brandName = brandNameAgg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandName(brandName);

            //3、得到品牌的图片
            ParsedStringTerms brandImgAgg = bucket.getAggregations().get("brand_img_agg");
            String brandImg = brandImgAgg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandImg(brandImg);

            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
//        //4、当前所有商品涉及到的分类信息
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        buckets.forEach(bucket -> {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            catalogVo.setCatalogId((Long) bucket.getKey());
            //得到子聚合
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            catalog_name_agg.getBuckets().forEach(item -> {
                catalogVo.setCatalogName((String) item.getKey());
            });
            catalogVos.add(catalogVo);
        });
        //封装
        result.setCatalogs(catalogVos);

        //========================以上信息从聚合中获取============================
//        //5、分页信息的页码和总记录数和总页码
        result.setPageNum(param.getPageNum());
        TotalHits totalHits = hits.getTotalHits();
        long total = totalHits.value;
        result.setTotal(total);
        //总页码经过计算得到  11/2 =
        int product_page_size = (int) total % EsConstant.PRODUCT_PAGE_SIZE;
        int totalPages = product_page_size == 0 ? (int) total / EsConstant.PRODUCT_PAGE_SIZE : ((int) total / EsConstant.PRODUCT_PAGE_SIZE + 1);
        result.setTotalPages(totalPages);

        //封装的导航页
        List<Integer> pageNavs = new ArrayList<>();
        for (int i = 1; i <= totalPages; i++) {
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);

        //6、构建面包屑导航
//        List<SearchResult.NavVo> navVos = new ArrayList<>();
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
                //1、分析每一个attrs传过来的参数值  1_5寸:6寸
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                //将每个attr以_分割
                String[] split = attr.split("_");
                //设置navVo的值
                navVo.setNavValue(split[1]);
                //要根据属性id查询属性的名字  而属性id是spilt[0] 可以远程调用商品服务的方法
                R r = productSearchFeignService.info(Long.parseLong(split[0]));
                if (r.getCode() == 0) { //正常返回
                    AttrResponseVo data = r.getData("data", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(data.getAttrName());
                } else {  //如果远程调用失败
                    navVo.setNavName(split[0]);
                }
                //2、取消了这个面包屑以后，我们要跳转到哪个地方，将请求的地址url里面的当前置空
//                拿到所有的查询条件，去掉当前  将&1_5寸:6寸去掉
//                String replace = param.get_queryString().replace("&attrs=" + attr, "");
//                navVo.setLink("http://search.gulimall.com/list.html?" + replace);
//                return navVo;
//            }).collect(Collectors.toList());


                String encode = null;
                try {
                    encode = URLEncoder.encode(attr, "UTF-8");//对attr进行编码，对传来的attr编码之后再进行替换
                    //java编码之后是+，而浏览器中的空格编码是%20(可以调试的时候看到)，这是java和浏览器编码的差异化处理
                    encode.replace("+", "%20");  //浏览器对空格的编码和Java不一样，差异化处理
//                    encode.replace("%28", "(");  //浏览器对空格的编码和Java不一样，差异化处理
//                    encode.replace("%29", ")");  //浏览器对空格的编码和Java不一样，差异化处理
                    encode.replace("%3B", ";");  //浏览器对空格的编码和Java不一样，差异化处理
                    encode.replace("%28Hisilicon%29", "(Hisilicon)");  //浏览器对空格的编码和Java不一样，差异化处理
//                    (Hisilicon)  %28Hisilicon%29
                } catch (UnsupportedEncodingException e) {
                    e.printStackTrace();
                }

                //第一个选择的属性是去不掉的，。。。。。???   属性带括号的取消不了面包屑？？？
                String replace = param.get_queryString().replace("&attrs=" + encode, "");
                navVo.setLink("http://search.gulimall.com/list.html?" + replace);

                return navVo;
            }).collect(Collectors.toList());

            result.setNavs(collect);
        }
        return result;
    }
}
